Team Samsung-RAL: Technical Report for 2024 RoboDrive Challenge-Robust Map Segmentation Track

Kavli Affiliate: Yi Zhou | First 5 Authors: Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou | Summary: In this report, we describe the technical details of our submission to the 2024 RoboDrive Challenge Robust Map Segmentation Track. The Robust Map Segmentation track focuses on the segmentation of complex driving scene elements in […]


Continue.. Team Samsung-RAL: Technical Report for 2024 RoboDrive Challenge-Robust Map Segmentation Track

Team Samsung-RAL: Technical Report for 2024 RoboDrive Challenge-Robust Map Segmentation Track

Kavli Affiliate: Yi Zhou | First 5 Authors: Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou | Summary: In this report, we describe the technical details of our submission to the 2024 RoboDrive Challenge Robust Map Segmentation Track. The Robust Map Segmentation track focuses on the segmentation of complex driving scene elements in […]


Continue.. Team Samsung-RAL: Technical Report for 2024 RoboDrive Challenge-Robust Map Segmentation Track

Fluctuations in Spin Dynamics Excited by Pulsed Light

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Tetsuya Sato, Shinichi Watanabe, Mamoru Matsuo, Takeo Kato, | Summary: We theoretically investigate nonequilibrium spin fluctuations in a ferromagnet induced by a light pulse. Using a Lindblad equation consistent with the Landau-Lifshitz-Gilbert equation, we compute the autocorrelation function of magnetization. Our analysis reveals that this function comprises […]


Continue.. Fluctuations in Spin Dynamics Excited by Pulsed Light

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition

Kavli Affiliate: Yi Zhou | First 5 Authors: Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi | Summary: In the realm of autonomous driving, robust perception under out-of-distribution conditions is paramount for the safe deployment of vehicles. Challenges such as adverse weather, sensor malfunctions, and environmental unpredictability can severely impact the performance […]


Continue.. The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition

Kavli Affiliate: Yi Zhou | First 5 Authors: Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi | Summary: In the realm of autonomous driving, robust perception under out-of-distribution conditions is paramount for the safe deployment of vehicles. Challenges such as adverse weather, sensor malfunctions, and environmental unpredictability can severely impact the performance […]


Continue.. The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition

Superconducting and topological properties of compound Lu$_4$H$_7$N

Kavli Affiliate: Bo Gu | First 5 Authors: Zheng-Wei Liao, Xin-Wei Yi, Jing-Yang You, Bo Gu, Gang Su | Summary: A recent experiment has reported a nitrogen-doped lutetium hydride acheving a remarkable Tc of 294 K at just 1 GPa, significantly reducing the required pressure for obtaining room temperature superconductivity. However, subsequent experimental and theoretical […]


Continue.. Superconducting and topological properties of compound Lu$_4$H$_7$N

Superconducting and topological properties of compound Lu$_4$H$_7$N

Kavli Affiliate: Gang Su | First 5 Authors: Zheng-Wei Liao, Xin-Wei Yi, Jing-Yang You, Bo Gu, Gang Su | Summary: A recent experiment has reported a nitrogen-doped lutetium hydride acheving a remarkable Tc of 294 K at just 1 GPa, significantly reducing the required pressure for obtaining room temperature superconductivity. However, subsequent experimental and theoretical […]


Continue.. Superconducting and topological properties of compound Lu$_4$H$_7$N

MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for End-to-End Autonomous Driving

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yiqun Duan, Xianda Guo, Zheng Zhu, Zhen Wang, Yu-Kai Wang | Summary: Current multi-modality driving frameworks normally fuse representation by utilizing attention between single-modality branches. However, the existing networks still suppress the driving performance as the Image and LiDAR branches are independent and lack a unified observation […]


Continue.. MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for End-to-End Autonomous Driving

LogoMotion: Visually Grounded Code Generation for Content-Aware Animation

Kavli Affiliate: Matthew Fisher | First 5 Authors: Vivian Liu, Rubaiat Habib Kazi, Li-Yi Wei, Matthew Fisher, Timothy Langlois | Summary: Animated logos are a compelling and ubiquitous way individuals and brands represent themselves online. Manually authoring these logos can require significant artistic skill and effort. To help novice designers animate logos, design tools currently […]


Continue.. LogoMotion: Visually Grounded Code Generation for Content-Aware Animation

Spin pumping into quantum spin chains

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Shunsuke C. Furuya, Mamoru Matsuo, Takeo Kato, , | Summary: We theoretically investigate spin pumping into a quantum easy-plane ferromagnetic spin chain system. This quantum spin chain is effectively described by the Tomonaga-Luttinger (TL) liquid despite the ferromagnetic exchange interaction because of the easy-plane magnetic anisotropy. This […]


Continue.. Spin pumping into quantum spin chains